Triple
T2786852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akita |
E61829
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Akita Station
Akita Station is the main railway hub in Akita City, Japan, serving regional and Shinkansen high-speed train lines.
|
E632118
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Akita Station | Statement: [Akita, hasRailwayStation, Akita Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akita Station Context triple: [Akita, hasRailwayStation, Akita Station]
-
A.
Kanda Station
Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
-
B.
Awaji Station
Awaji Station is a railway station in Osaka, Japan, serving as an important junction for multiple Hankyu Railway lines.
-
C.
Takaido Station
Takaido Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and providing local commuter access within the city.
-
D.
Nagaoka Station
Nagaoka Station is a major railway hub in Niigata Prefecture, Japan, serving both local and Shinkansen high-speed train lines.
-
E.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Akita Station Triple: [Akita, hasRailwayStation, Akita Station]
Generated description
Akita Station is the main railway hub in Akita City, Japan, serving regional and Shinkansen high-speed train lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akita Station Target entity description: Akita Station is the main railway hub in Akita City, Japan, serving regional and Shinkansen high-speed train lines.
-
A.
Kanda Station
Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
-
B.
Awaji Station
Awaji Station is a railway station in Osaka, Japan, serving as an important junction for multiple Hankyu Railway lines.
-
C.
Takaido Station
Takaido Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and providing local commuter access within the city.
-
D.
Nagaoka Station
Nagaoka Station is a major railway hub in Niigata Prefecture, Japan, serving both local and Shinkansen high-speed train lines.
-
E.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddb0d3488190a3f2bf47ebb35802 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761601814819092889a7d6ba74a02 |
completed | March 28, 2026, 5:04 a.m. |
| NEDg | Description generation | batch_69c76265a77881908d3e698e2e1c53c5 |
completed | March 28, 2026, 5:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c762d1be208190ae5831c2a5e5655c |
completed | March 28, 2026, 5:10 a.m. |
Created at: March 6, 2026, 9:57 p.m.